Take the content of a list and append it to another list
Concatenate two lists using the shorthand for the extend()
method: +=
.
list1
now contains all elements from list2
. It's like having a party and inviting list2
. Fun!
For more advanced scenarios, such as dynamic list merging based on conditions or managing memory usage while merging, stick around!
extend()
vs append()
: What's the difference?
Here's the key difference between extend()
and append()
: The former adds each item of the input iterable to the list, while the latter adds the entire input as a single item.
Think of it as inviting a group of friends to the party (extend) vs inviting a single friend (append). Everybody loves a party!
Memory, Lists, itertools.chain
, oh my!
For large data or merging multiple lists, itertools.chain()
proves itself invaluable, like a Swiss Army knife of the Python world.
combined
is now a memory-friendly iterator over list1
and list2
. Yes, the party just got bigger and nobody tripped the circuit breaker!
Conditional concatenation sans loops
What if you only want to invite some friends from list2
to the party? The list.extend()
method combined with a generator expression will save the day!
Mind the performance!
When dealing with large datasets, remember to regularly check performance like a doctor checks a heartbeat. The list1 += list2
syntax is neat but may not outperform list1.extend(list2)
when the guest list (elements) is in the thousands.
Prioritize readability and maintainability
A complex solution may seem cool but give priority to readability and maintainability. A simpler for-loop could be better than a perplexing one-liner. Remember, coding is communication first with other humans, then with the machine!
Memory use and large-level operations
Using generators or iterators when merging lists can save a lot of memory—imagine it like fitting more guests in your party without renting a bigger hall!
Conditional content appending: Let's be picky
Sometimes we need to append content based on various conditions. Cue list comprehensions:
This gets your peer-reviewed, beautifully optimized solution, all while keeping the readability intact. And remember, hit the official documentation when in doubt!
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